http://www.sanger.ac.uk/resources/downloads/bacteria/salmonella.html This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Tr

NIAID Data Ecosystem50

Additional file 1: of Tracking antibiotic resistance gene pollution from different sources using machine-learning classification

抗菌素耐药性基因

宏基因组分析

Table S1. Metadata of 656 metagenomic datasets. Table S5. SourceTracker parameter adjustment. a Defined source input ratio in the three artificial configurations (A, B, and C). b Effect of parameter a

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Escherichia coli genome sequencing. Escherichia coli strain:C2-108

抗菌素耐药性基因

大肠杆菌抗粘菌素机制

colistin-resistant E. coli isolates

NIAID Data Ecosystem50